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Open Access

Reconfigurable Intelligent Surfaces for 6G: Nine Fundamental Issues and One Critical Problem

Department of Electronic Engineering, Tsinghua University, and also with Beijing National Research Center for Information Science and Technology (BNRist), Beijing 100084, China
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Abstract

Thanks to the recent advances in metamaterials, Reconfigurable Intelligent Surface (RIS) has emerged as a promising technology for future 6G wireless communications. Benefiting from its high array gain, low cost, and low power consumption, RISs are expected to greatly enlarge signal coverage, improve system capacity, and increase energy efficiency. In this article, we systematically overview the emerging RIS technology with the focus on its key basics, nine fundamental issues, and one critical problem. Specifically, we first explain the RIS basics, including its working principles, hardware structures, and potential benefits for communications. Based on these basics, nine fundamental issues of RISs, such as “What’s the differences between RISs and massive MIMO?” and “Is RIS really intelligent?”, are explicitly addressed to elaborate its technical features, distinguish it from existing technologies, and clarify some misunderstandings in the literature. Then, one critical problem of RISs is revealed that, due to the “multiplicative fading” effect, existing passive RISs can hardly achieve visible performance gains in many communication scenarios with strong direct links. To address this critical problem, a potential solution called active RISs is introduced, and its effectiveness is demonstrated by numerical simulations.

References

[1]
Z. Zhang, Y. Xiao, Z. Ma, M. Xiao, Z. Ding, X. Lei, G. K. Karagiannidis, and P. Fan, 6G wireless networks: Vision, requirements, architecture, and key technologies, IEEE Veh. Technol. Mag., vol. 14, no. 3, pp. 2841, 2019.
[2]
E. Basar, M. Di Renzo, J. De Rosny, M. Debbah, M. Alouini, and R. Zhang, Wireless communications through reconfigurable intelligent surfaces, IEEE Access, vol. 7, pp. 116 753116 773, 2019.
[3]
Q. Wu and R. Zhang, Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming, IEEE Trans. Wireless Commun., vol. 18, no. 11, pp. 53945409, 2019.
[4]
C. Huang, A. Zappone, G. C. Alexandropoulos, M. Debbah, and C. Yuen, Reconfigurable intelligent surfaces for energy efficiency in wireless communication, IEEE Trans. Wireless Commun., vol. 18, no. 8, pp. 41574170, 2019.
[5]
Z. Zhang and L. Dai, A joint precoding framework for wideband reconfigurable intelligent surface-aided cell-free network, IEEE Trans. Signal Process., vol. 69, pp. 40854101, 2021.
[6]
H.-T. Chen, A. J. Taylor, and N. Yu, A review of metasurfaces: Physics and applications, Reports on Progress in Physics, vol. 79, no. 7, p. 076401, 2016.
[7]
H. Yang, F. Yang, X. Cao, S. Xu, J. Gao, X. Chen, M. Li, and T. Li, A 1600-element dual-frequency electronically reconfigurable reflectarray at x/ku-band, IEEE Trans. Antennas Propag., vol. 65, no. 6, pp. 30243032, 2017.
[8]
M. Di Renzo, K. Ntontin, J. Song, F. H. Danufane, X. Qian, F. Lazarakis, J. De Rosny, D.-T. Phan-Huy, O. Simeone, R. Zhang, M. Debbah, G. Lerosey, M. Fink, S. Tretyakov, and S. Shamai, Reconfigurable intelligent surfaces vs. relaying: Differences, similarities, and performance comparison, IEEE Open J. Commun. Soc., vol. 1, pp. 798807, 2020.
[9]
K. Liu, Z. Zhang, L. Dai, and L. Hanzo, Compact user-specific reconfigurable intelligent surfaces for uplink transmission, IEEE Trans. Commun., vol. 70, no. 1, pp. 680692, 2022.
[10]
Y. Liu, X. Mu, J. Xu, R. Schober, Y. Hao, H. V. Poor, and L. Hanzo, STAR: Simultaneous transmission and reflection for 360° coverage by intelligent surfaces, IEEE Wireless Commun., vol. 28, no. 6, pp. 102109, 2021.
[11]
E. Basar and H. V. Poor, Present and future of reconfigurable intelligent surface-empowered communications, IEEE Signal Process. Mag., vol. 38, no. 6, pp. 146152, 2021.
[12]
S. R. Best, Realized noise figure of the general receiving antenna, IEEE Antennas Wireless Propag. Lett., vol. 12, no. 10, pp. 702705, 2013.
[13]
J. Kimionis, A. Georgiadis, A. Collado, and M. M. Tentzeris, Enhancement of RF tag backscatter efficiency with low-power reflection amplifiers, IEEE Trans. Microw. Theory Tech., vol. 62, no. 12, pp. 35623571, 2014.
[14]
Z. Zhang, L. Dai, X. Chen, C. Liu, F. Yang, R. Schober, and H. V. Poor, Active RIS vs. passive RIS: Which will prevail in 6G? IEEE Trans. Commun., vol. 71, no. 3, pp. 17071725, 2023.
[15]
C. Hu, L. Dai, S. Han, and X. Wang, Two-timescale channel estimation for reconfigurable intelligent surface aided wireless communications, IEEE Trans. Commun., vol. 69, no. 11, pp. 77367747, 2021.
[16]
M. Najafi, V. Jamali, R. Schober, and H. V. Poor, Physics-based modeling and scalable optimization of large intelligent reflecting surfaces, IEEE Trans. Commun., vol. 69, no. 4, pp. 26732691, 2021.
[17]
V. Jamali, M. Najafi, R. Schober, and H. V. Poor, Power efficiency, overhead, and complexity tradeoff of IRS codebook design—quadratic phase-shift profile, IEEE Commun. Lett., vol. 25, no. 6, pp. 20482052, 2021.
[18]
W. Tang, M. Z. Chen, X. Chen, J. Y. Dai, Y. Han, M. Di Renzo, Y. Zeng, S. Jin, Q. Cheng, and T. J. Cui, Wireless communications with reconfigurable intelligent surface: Path loss modeling and experimental measurement, IEEE Trans. Wireless Commun., vol. 20, no. 1, pp. 421439, 2021.
[19]
J. Bousquet, S. Magierowski, and G. G. Messier, A 4-GHz active scatterer in 130-nm CMOS for phase sweep amplify-and-forward, IEEE Trans. Circuits Syst. I, vol. 59, no. 3, pp. 529540, 2012.
[20]
Z. Zhang, L. Dai, X. Chen, C. Liu, F. Yang, R. Schober, and H. V. Poor, Active RISs: Signal modeling, asymptotic analysis, and beamforming design, in Proc. 2022 IEEE Global Commun. Conf. (IEEE GLOBECOM’22), Rio de Janeiro, Brazil, 2022, pp. 17.
[21]
C. You and R. Zhang, Wireless communication aided by intelligent reflecting surface: Active or passive? IEEE Wireless Commun. Lett., vol. 10, no. 12, pp. 26592663, 2021.
[22]
K. Liu, Z. Zhang, L. Dai, S. Xu, and F. Yang, Active reconfigurable intelligent surface: Fully-connected or sub-connected? IEEE Commun. Lett., vol. 26, no. 1, pp. 167171, 2022.
[23]
C. Pan, H. Ren, K. Wang, W. Xu, M. Elkashlan, A. Nallanathan, and L. Hanzo, Multicell MIMO communications relying on intelligent reflecting surfaces, IEEE Trans. Wireless Commun., vol. 19, no. 8, pp. 52185233, 2020.
[24]
Q. Shi, M. Razaviyayn, Z.-Q. Luo, and C. He, An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel, IEEE Trans. Signal Process., vol. 59, no. 9, pp. 43314340, 2011.
[25]
H. Zhao, Z. Zhang, J. Wang, Z. Zhang and Y. Shen, A signal-multiplexing ranging scheme for integrated localization and sensing, IEEE Wireless Commun. Lett., vol. 11, no. 8, pp. 16091613, 2022.
[26]
Y. He, Y. Cai, H. Mao and G. Yu, RIS-assisted communication radar coexistence: Joint beamforming design and analysis, IEEE J. Sel. Areas Commun., vol. 40, no. 7, pp. 21312145, 2022.
[27]
Z. Zhang, H. Zhao, J. Wang and Y. Shen, Signal-multiplexing ranging for network localization, IEEE Trans. Wireless Commun., vol. 21, no. 3, pp. 16941709, 2022.
[28]
X. Hu, C. Masouros and K. -K. Wong, Reconfigurable intelligent surface aided mobile edge computing: From optimization-based to location-only learning-based solutions, IEEE Trans. Commun., vol. 69, no. 6, pp. 37093725, 2021.
Tsinghua Science and Technology
Pages 929-939
Cite this article:
Zhang Z, Dai L. Reconfigurable Intelligent Surfaces for 6G: Nine Fundamental Issues and One Critical Problem. Tsinghua Science and Technology, 2023, 28(5): 929-939. https://doi.org/10.26599/TST.2023.9010001

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Received: 04 January 2023
Accepted: 12 January 2023
Published: 19 May 2023
© The author(s) 2023.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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